Senior Data Project Manager - Data, Analytics & Cloud

We are looking for an experienced Senior Data Project Manager to lead complex data, analytics, cloud, data migration and digital transformation programmes. The role involves managing multiple workstreams, cross-functional teams, senior stakeholders and external vendors to ensure successful delivery of strategic technology initiatives. Key Responsibilities Lead end-to-end delivery of complex data, analytics, cloud and digital transformation projects .

Manage project planning, scope, timelines, budgets, resources, milestones and dependencies.

Coordinate multiple workstreams involving Data Engineers, Data Architects, Analysts, Data Scientists, Cloud, DevOps, QA, Security and Governance teams .

Manage senior business and technology stakeholders and provide regular programme updates.

Lead governance meetings, steering committees and project reviews.

Identify and manage project risks, issues, assumptions, dependencies and decisions (RAID) .

Manage vendors, contractors and external technology partners.

Oversee implementation of data platforms, data pipelines, data warehouses, data migrations and analytics solutions .

Ensure data quality, security, privacy, metadata, lineage and governance requirements are addressed.

Oversee ETL/ELT, data validation, reconciliation, testing, UAT, deployment and production readiness .

Manage change requests and assess their impact on scope, cost, timeline, resources and quality.

Lead release, migration, cutover and transition-to-support activities.

Prepare executive dashboards, project reports, financial updates and risk summaries.

Conduct post-project reviews and track business benefits and outcomes.

Required Skills & Experience 10+ years of experience in Project or Programme Management.

Proven experience delivering complex Data, Analytics, Cloud, Data Migration, Integration, Data Platform or Digital Transformation projects .

Strong experience managing multiple cross-functional teams and technical workstreams.

Good understanding of Cloud Data Architecture , preferably AWS and/or GCP .

Working knowledge of PySpark and Scala data pipelines .

Strong understanding of ETL/ELT, APIs, data integration, data warehousing and data lakes/lakehouses .

Knowledge of data modelling, scheduling and orchestration platforms .

Experience in data governance, metadata management, data catalogues, data lineage and data quality .

Experience with data validation, transformation, reconciliation, testing and UAT .

Strong experience in budget, resource, vendor and risk management .

Excellent stakeholder management, communication, negotiation and presentation skills .

Strong knowledge of Agile/Scrum, Kanban, Waterfall or Hybrid methodologies .

Experience with tools such as Jira, Confluence, Azure DevOps, MS Project or Smartsheet .

Preferred Qualifications PMP / PRINCE2 / PMI-ACP / SAFe / Scrum Master or equivalent certification.

AWS / GCP / Azure / Databricks / Snowflake or Data Governance certification.

Experience in regulated industries such as Banking, Financial Services, Insurance, Healthcare, Government or Telecommunications .